Data Analyst, Practicum Project
CurrentEngaged professionally with this highly successful aircraft type club worldwide with 70% of Cirrus type members, to help them enhance member experience Creatively designed a content scoring model through the use of Natural Language Processing technique (LDA topic modeling) in Python, as well as taking into consideration the authority of an author and the recency of the forum post, to deliver the most relevant results to site users Aggregated 250G data from SQL Server and external sources through the use of APIs and web-scraping Migrated database to AWS, triggered a pipeline by Lambda to do data cleaning and implemented re-ranking model on SageMaker Developed a well-structured dashboard with relevant metrics (such as Daily Active User and Page Views) by Tableau to help administrators track site performance Partnered closely with our MSBA Industry Partner (MIP), who is a founding member of COPA, planned our deliverables and always kept him informed with updated work by a weekly internal meeting